Model of peripheral nerve with ephaptic coupling (Capllonch-Juan & Sepulveda 2020)

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Accession:263988
We built a computational model of a peripheral nerve trunk in which the interstitial space between the fibers and the tissues is modelled using a resistor network, thus enabling distance-dependent ephaptic coupling between myelinated axons and between fascicles as well. We used the model to simulate a) the stimulation of a nerve trunk model with a cuff electrode, and b) the propagation of action potentials along the axons. Results were used to investigate the effect of ephaptic interactions on recruitment and selectivity stemming from artificial (i.e., neural implant) stimulation and on the relative timing between action potentials during propagation.
Reference:
1 . Capllonch-Juan M, Sepulveda F (2020) Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves. PLoS Comput Biol 16:e1007826 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Extracellular; Axon;
Brain Region(s)/Organism:
Cell Type(s): Myelinated neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python;
Model Concept(s): Ephaptic coupling; Stimulus selectivity;
Implementer(s):
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publication_data
dataset_02__stimulation
noec
code
data
models
settings
src
x86_64
gaines_sensory_flut.mod *
gaines_sensory_mysa.mod *
gaines_sensory_node.mod *
gaines_sensory_stin.mod *
MRG_AXNODE.mod *
aaa_info_dataset *
algebra.py *
analysis.py *
anatomy.py *
biophysics.py *
circlepacker.py *
contourhandler.py *
electrodes.py *
fill_nerve.py *
geometry.py *
get_extstim.py *
read_results.py *
sim_launcher.py *
simcontrol.py *
tessellations.py *
tools.py *
visualisation.py *
workspace.py *
                            
nerve. scenario002
This includes MRG and Gaines sensory model.
The tissue properties have been modified according to the reviewers.
This is for the study of the effects of EC on stimulation at the first round of revisions.

UPDATE: 2ND ROUND OF REVISIONS:
This version of the code does NOT adjust rho_endo_longt of the fascicles as I did originally to make rho_endo_longt_eq match the nominal value 175 Ohm*cm. Instead, rho_endo is a isotropic resistivity with value 1211 Ohm*cm.
The only adjustment is to xraxial, by lumping  endoneurium and epineurium for those fibers overlapping with the epineurium. But this is something I did after the first round of revisions.

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